A systematic approach to obtaining fuzzy sets for control systems

Author

Manoranjan, V.S. ; de Sam Lazaro, A. ; Edwards, D. ; Athalye, A.

Author_Institution

Dept. of Math., Washington State Univ., Pullman, WA, USA

Volume

25

Issue

1

fYear

1995

fDate

1/1/1995 12:00:00 AM

Firstpage

206

Lastpage

213

Abstract

The behavior of a control practitioner, who may be acting only on subjective or intuitive knowledge could be represented by one or more fuzzy subsets of the set (assumed to be finite) of all states of a controlled system. In this paper a systematic approach is proposed for determining the grades of membership of such fuzzy sets. These sets and the plant are then optimized against a performance index. The results of applying this method to a particular second order system are presented and then compared with those obtained by using a continuous deterministic model of the same plant. Implications for the design of controllers are then drawn

Keywords

control system synthesis; fuzzy control; fuzzy set theory; optimal control; continuous deterministic model; control systems; fuzzy sets; fuzzy subsets; intuitive knowledge; performance index; subjective knowledge; Control systems; Design optimization; Electrical equipment industry; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; Industrial control; Mechanical engineering; Nonlinear control systems;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9472

Type

jour

DOI

10.1109/21.362949

Filename

362949